WeKnora
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm
What is WeKnora?
WeKnora is an open-source framework developed by Tencent that provides powerful capabilities for document understanding, semantic retrieval, and intelligent question-answering. Built on the RAG (Retrieval-Augmented Generation) paradigm, WeKnora enables organizations to transform their documents into intelligent knowledge bases that can answer questions with context-aware precision.
Whether you're building chatbots, knowledge management systems, or intelligent assistants, WeKnora provides the tools and infrastructure needed to extract, index, and retrieve information from documents efficiently.
Key Features
📚 Deep Document Understanding
Advanced document parsing and analysis capabilities that extract structured information from various document formats including PDF, Word, Markdown, and more.
Learn more →🔍 Semantic Retrieval
Powerful vector search and semantic retrieval engine that finds relevant information based on meaning, not just keywords.
Learn more →🤖 Agent Mode
ReACT Agent mode with built-in tools for knowledge base retrieval, MCP tool integration, and web search capabilities.
Learn more →📊 Knowledge Graphs
Transform documents into knowledge graphs, displaying relationships between different sections for enhanced understanding.
Learn more →🌐 Multi-tenant Support
Built-in multi-tenant architecture allowing multiple organizations to use the platform securely and independently.
Learn more →🔌 MCP Server Integration
Seamless integration with MCP (Model Context Protocol) servers for extended functionality and tool access.
Learn more →Quick Start
Get WeKnora up and running in minutes with our simple installation process:
For detailed installation instructions and configuration, visit our Getting Started Guide.
Use Cases
Enterprise Knowledge Base
Build intelligent knowledge bases for your organization's documentation, policies, and procedures.
See example →Customer Support Chatbots
Create AI-powered support agents that can answer customer questions using your product documentation.
See example →Research & Documentation
Transform research papers and technical documentation into searchable, queryable knowledge systems.
See example →WeChat Integration
Deploy intelligent Q&A services within the WeChat ecosystem through the WeChat Dialog Open Platform.
See example →Why Choose WeKnora?
- Open Source: Fully open-source under MIT License, free to use and modify
- Production Ready: Battle-tested framework used by Tencent in production environments
- Comprehensive: Complete solution from document parsing to intelligent Q&A
- Extensible: Plugin architecture and MCP server support for custom integrations
- Modern Stack: Built with Go, Vue.js, and modern AI technologies
- Active Community: Growing community of contributors and users
Resources
Documentation & Guides
- Complete Documentation - Comprehensive guides and references
- Getting Started Guide - Step-by-step setup instructions
- API Reference - Complete API documentation
- Examples & Tutorials - Real-world use cases and code samples
Community & Support
- Community Guidelines - How to contribute and participate
- Blog & Articles - Latest news, updates, and technical articles
- Contact Us - Get help and connect with the team
- GitHub Repository - Source code and issue tracking
Get Involved
WeKnora is an open-source project and we welcome contributions from the community. Whether you're fixing bugs, adding features, improving documentation, or sharing use cases, your contributions help make WeKnora better for everyone.